Least-squares spectral element preconditioners for fourth order elliptic problems

In this paper, we propose preconditioners for the system of linear equations that arise from a discretization of fourth order elliptic problems in two and three dimensions (d=2,3) using spectral element methods. These preconditioners are constructed using separation of variables and can be diagonali...

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Bibliographic Details
Main Authors: Husain, Akhlaq (Author) , Khan, Arbaz (Author)
Format: Article (Journal)
Language:English
Published: 1 August 2017
In: Computers and mathematics with applications
Year: 2017, Volume: 74, Issue: 3, Pages: 482-503
ISSN:1873-7668
DOI:10.1016/j.camwa.2017.04.032
Online Access:Verlag, Volltext: http://dx.doi.org/10.1016/j.camwa.2017.04.032
Verlag, Volltext: http://www.sciencedirect.com/science/article/pii/S0898122117302638
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Author Notes:Akhlaq Husain, Arbaz Khan
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Summary:In this paper, we propose preconditioners for the system of linear equations that arise from a discretization of fourth order elliptic problems in two and three dimensions (d=2,3) using spectral element methods. These preconditioners are constructed using separation of variables and can be diagonalized and hence easy to invert. For second order elliptic problems this technique has proven to be successful and performs better than other preconditioners in the framework of least-squares methods. We show that these preconditioners are spectrally equivalent to the quadratic forms by which we approximate them. Numerical results for the condition number reflects the effectiveness of the preconditioners.
Item Description:Available online: 25 May 2017
Gesehen am 09.10.2018
Physical Description:Online Resource
ISSN:1873-7668
DOI:10.1016/j.camwa.2017.04.032